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Issue Date	Title / Author(s) / Citation	File
2016-03	Utility of Machine-learning approaches to identify Behavioral Markers for substance Use Disorders: impulsivity Dimensions as Predictors of current cocaine Dependence Ahn, Woo-Young; Ramesh, Divya; Moeller, Frederick Gerard; Vassileva, Jasmin Frontiers in Psychiatry, Vol.7, p. 34	DOI
2020-11	Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis Haines, Nathaniel; Beauchaine, Theodore P.; Galdo, Matthew; Rogers, Andrew H.; Hahn, Hunter; Pitt, Mark A.; Myung, Jay I.; Turner, Brandon M.; Ahn, Woo-Young Clinical Psychological Science, Vol.8 No.6, pp.1017-1036	DOI
2024-01	Caffeinated Soda Intake in Children Is Associated with Neurobehavioral Risk Factors for Substance Misuse Kwon, Mina; Kim, Hyeonjin; Yang, Jaeyeong; Lee, Yoseph; Hur, Jihyun K.; Lee, Tae-Ho; Bjork, James M.; Ahn, Woo-Young Substance Use and Misuse, Vol.59 No.1, pp.79-89	DOI
2024-04	Bridging the Gap Between Self-Report and Behavioral Laboratory Measures: A Real-Time Driving Task With Inverse Reinforcement Learning Lee, Sang Ho; Song, Myeong Seop; Oh, Min-hwan; Ahn, Woo-Young Psychological Science, Vol.35 No.4, pp.35-4	DOI